| Name | Country code |
|---|---|
| Suriname | SUR |
HOUSEHOLD QUESTIONNAIRE: Household information Panel, Household Listing, Education, Water and Sanitation, (Addition Household Income/expenditure)
WOMEN QUESTIONNAIRE: Women's information Panel, Child Mortality, Maternal and Newborn Health, Contraceptive use, HIV/AIDS.
CHILDREN QUESTIONNAIRE: Birth Registration and Early Learning, Breast-feeding, Care of Illness, Malaria, Immunization, Anthropometry.
National
| Name |
|---|
| National Steering Committee |
| Name | Role |
|---|---|
| United Nations Children's Fund |
Technical Advice |
| Ministry of Social Affairs and Housing | |
| Ministry of Planning and Development Cooperation | |
| Ministry of Labour | |
| Ministry of Health | |
| Ministry of Education | |
| Medical Mission | |
| Regional Health Services | |
| Bureau of Public Health | |
| University of Suriname | |
| General Bureau of Statistics |
| Name |
|---|
| United Nations Children's Fund |
The sample for the Suriname MICS 2000 was designed to provide estimates of health indicators at several levels. The sample was stratified into three strata: urban, rural, and interior. The urban and rural strata are comprised of districts located in the coastal area while the interior is comprised of districts in the rain forest populated mainly by maroons (descendants of escaped slaves) and indigenous people. The sampling frame was composed of 449 'stemburo's' (the smallest administrative divisions used in national elections). The sample was selected in two stages. At the first stage, 123 'stemburo's (clusters) were selected with probability proportional to size. Within the 123 selected clusters, 4,671 households were identified by drawing a systematic sample. It is important to stress that the procedure to identify and select households in the urban and rural strata differs from the procedure used in most clusters of the interior stratum. In all 108 urban and rural clusters as well as in 4 interior clusters (2 in district Para and 2 in district Marowijne) dwellings were selected prior to the identification of households. In the remaining 11 clusters of the Brokopondo and Sipaliwini districts in the interior, female persons on an up to date patient lists with female representatives of family units of the Medical Mission were selected prior to the identification of households, rather than dwellings.
More detailed information on sampling procedure is available in "Section II.2 Sample Design" of the report.
In a sample of 4,397 dwellings, 4,692 households were selected of which 4,585 were found to be occupied . Of these 4,585 households, 4,293 were successfully interviewed for a household response rate of 93.6 percent. In the interviewed households, 5,055 eligible women (age 12-49) were identified. Of these, 4,555 were successfully interviewed, yielding a response rate of 90.1 percent. In addition, 1961 children under age 5 were listed in the household questionnaire. Of these, questionnaires were completed for 1,885 for a response rate of 96.1 percent. Of the three units (households, women and children) women have the lowest response rate. This is mainly due to working women who were not at home during the first and second interviewers’ contact. From the point of view of the country stratification, the interior has the highest and the urban strata the lowest response rate for each of the three research units. Analysis of the non-response at the household level shows that the largest non-response category is ‘not at home’ by 4.2 percent of all the households found. In the urban strata the proportion is highest by 5.7 percent and in the interior the proportion is lowest by 0.4 percent. There is a fairly low overall percentage of 2.2 percent refusals, which is also lowest for the interior by 0.6 percent and highest for the urban strata by 3.2 percent.
In addition to a household questionnaire, questionnaires were administered in each household for women aged 12- 49 and children under age five. The questionnaires are based on the MICS model questionnaire excluding the child labor, salt iodization, tetanus toxoid, and Vitamin A modules. A few questions on household expenditure and income were added to estimate income poverty. From the MICS model English version, the questionnaires were adapted and translated into two languages: Dutch and Sranan (Suriname’s lingua franca). The questionnaires were pretested during November 1999. Based on the results of the pretest, modifications were made to the wording and translation of the questionnaires.
| Start | End |
|---|---|
| 1999-11 | 2000-04 |
A total of 65 interviewers were recruited from areas where they would eventually conduct the fieldwork. The field staff was initially trained in November 1999 with additional training in December. The field workers for the Interior were health assistants in the Medical Mission who were trained in January 2000. In the urban and rural areas, 5 teams collected the data. Each team consisted of 3-5 interviewers, one fie ld editor and a supervisor/driver. In the Interior, 4 small teams of 1-2 interviewers did interviewing. Fieldwork in the Interior was supervised by the MICS Coordinator with support of a member of the Technical Committee who works in health management in the Interior. The fieldwork began in November 1999 and concluded in April 2000.
Dataset available free of charge to registered users (www.childinfo.org).
MICS2 has put greater efforts in not only properly documenting the results published in the MICS2 country reports, but also to maximize the use of micro data sets via documentation and dissemination. For those MICS2 countries that granted UNICEF direct access to the micro data sets and documentation, a rigorous process was completed to ensure internal and external consistency, basic standards of data quality, corresponding documentation and, standardization of variable and value labels across countries.
Use of the dataset must be acknowledged using a citation which would include:
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | World Bank |
Documentation of the DDI |
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